On the Ergodic Rate of CR-Aided Multi-User Uplink RSMA and NOMA

  • Tianzhi He
  • , Theodoros A. Tsiftsis

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Sixth-generation (6G) wireless networks require a range of technologies and possible designs to meet high through-put, huge connectivity, and different quality of service (QoS) needs due to the rapid growth of wireless devices. In this study, we created a three-user uplink cognitive radio system with two secondary users (SU1 and SU2), one close to the base station and the other farther away. We examined the ergodic rate performance of two decoding order protocols: CR-Fix-DO, which is based on Rate-Splitting Multiple Access (RSMA), and CR-Flex-DO, which is based on Non-Orthogonal Multiple Access (NOMA). Within a resource block allotted to the primary user (PU), both protocols are made to support secondary users without sacrificing the PU's quality of service (QoS). The suggested protocols exceed benchmark schemes, as shown by numerical findings that confirmed the theoretical analysis. Under the given conditions, CR-Flex-DO achieved up to 1.7 bps/Hz greater ergodic rates than CR-Fix-DO.

Original languageEnglish
Title of host publication8th World Conference on Computing and Communication Technologies, WCCCT 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages30-37
Number of pages8
ISBN (Electronic)9798331512620
DOIs
Publication statusPublished - 2025
Event8th World Conference on Computing and Communication Technologies, WCCCT 2025 - Shenzhen, China
Duration: 11 Apr 202513 Apr 2025

Publication series

Name8th World Conference on Computing and Communication Technologies, WCCCT 2025

Conference

Conference8th World Conference on Computing and Communication Technologies, WCCCT 2025
Country/TerritoryChina
CityShenzhen
Period11/04/2513/04/25

Free Keywords

  • Cognitive Radio (CR)
  • Ergodic Rate
  • Non-Orthogonal Multple Access (NOMA)
  • Rate-Splitting Multiple Access (RSMA)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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